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by Professor Ara Darzi, while working towards a PhD degree . The research project will entail project design, experimental work in addition to data analysis and reporting the results in peer-reviewed
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. The Department offers an undergraduate programme in Digital Media and Culture, and MA/MSc programmes in Digital Culture & Society, Digital Asset & Media Management, Big Data in Culture & Society, Digital Economies
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information please contact Professor Dave
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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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and synthesising data from individual research studies Ability to use AI to support evidence synthesis, including as part of research to evaluate AI Demonstrable ability to attract and secure research